Abstract
Cooperation is the fundamental characteristic of multi-agent systems where the overall system exhibits significantly greater functionality than the individual components. In this paper, we propose a P2P cooperation framework for multiple Case-based Reasoning (CBR) agents to handle the student models initialization problem in Intelligent Tutoring Systems (ITSs). Our work shows that using the “committee” collaboration policy the agents can obtain better results that working alone, allowing to enhance the system overall performance.
The work was funded by the project MetaLearn (TIN2004-08367-C02-01).
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© 2007 Springer-Verlag Berlin Heidelberg
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González, C., Burguillo, J.C., Llamas, M. (2007). Cooperative CBR System for Sharing Student Models in Cooperative Intelligent Tutoring Systems . In: Burkhard, HD., Lindemann, G., Verbrugge, R., Varga, L.Z. (eds) Multi-Agent Systems and Applications V. CEEMAS 2007. Lecture Notes in Computer Science(), vol 4696. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75254-7_35
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DOI: https://doi.org/10.1007/978-3-540-75254-7_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-75253-0
Online ISBN: 978-3-540-75254-7
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